from typing import Any






class   __lowercase       :

						def __init__(						self					:   Tuple				,				__lowerCamelCase					:   Optional[Any] )				->		Optional[Any]:


									'''simple docstring'''

									lowercase       		=		data
									lowercase       		=		None






class   __lowercase       :

						def __init__(						self					:   Any )				->		int:


									'''simple docstring'''

									lowercase       		=		None

						def 							__a		(						self					:   int )				->		Optional[Any]:


									'''simple docstring'''

									lowercase       		=		self.head
									while temp is not None:
												print(temp.data				,				end=''' ''' )
												lowercase       		=		temp.next
									print()

						def 							__a		(						self					:   Dict				,				__lowerCamelCase					:   int )				->		Any:


									'''simple docstring'''

									lowercase       		=		Node(a_ )
									lowercase       		=		self.head
									lowercase       		=		new_node



						def 							__a		(						self					:   Union[str, Any]				,				__lowerCamelCase					:   Optional[int]				,				__lowerCamelCase					:   Optional[int] )				->		List[Any]:


									'''simple docstring'''

									if node_data_a == node_data_a:
												return
									else:
												lowercase       		=		self.head
												while node_a is not None and node_a.data != node_data_a:
															lowercase       		=		node_a.next

												lowercase       		=		self.head
												while node_a is not None and node_a.data != node_data_a:
															lowercase       		=		node_a.next

												if node_a is None or node_a is None:
															return

												lowercase       		=		node_a.data, node_a.data


if __name__ == "__main__":
						A_	     =   LinkedList()
						for i in range(5, 0, -1):
												ll.push(i)

						ll.print_list()

						ll.swap_nodes(1, 4)
						print("After swapping")
						ll.print_list()












'''simple docstring'''






import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List

from ..utils import logging
from . import BaseTransformersCLICommand


try:
					from cookiecutter.main import cookiecutter

					lowerCAmelCase									=   True
except ImportError:
					lowerCAmelCase									=   False

lowerCAmelCase									=   logging.get_logger(__name__)  # pylint: disable=invalid-name






def   __A    (				a_    :	Namespace						):
		return AddNewModelCommand(args.testing   ,args.testing_file   ,path=args.path						)

class 		lowerCamelCase	(   _A							):



	@staticmethod
	def 	_lowerCamelCase     ( a_						):
			lowerCAmelCase  :     Optional[int]       						= parser.add_parser("add-new-model"						)
			add_new_model_parser.add_argument("--testing"		,   action="store_true"		,   help="If in testing mode."						)
			add_new_model_parser.add_argument("--testing_file"		,   type=a_		,   help="Configuration file on which to run."						)
			add_new_model_parser.add_argument(
			    "--path"		,   type=a_		,   help="Path to cookiecutter. Should only be used for testing purposes."						)
			add_new_model_parser.set_defaults(func=a_						)



	def __init__( self		,   a_		,   a_		,   a_=None		,   *a_						):
			lowerCAmelCase  :     Any       						= testing
			lowerCAmelCase  :     str       						= testing_file
			lowerCAmelCase  :     Optional[int]       						= path





	def 	_lowerCamelCase     ( self						):
			warnings.warn(
			    "The command `transformers-cli add-new-model` is deprecated and will be removed in v5 of Transformers. "
			    "It is not actively maintained anymore, so might give a result that won't pass all tests and quality "
			    "checks, you should use `transformers-cli add-new-model-like` instead."						)
			if not _has_cookiecutter:
					raise ImportError(
					    "Model creation dependencies are required to use the `add_new_model` command. Install them by running "
					    "the following at the root of your `transformers` clone:\n\n\t$ pip install -e .[modelcreation]\n"						)
			# Ensure that there is no other `cookiecutter-template-xxx` directory in the current working directory
			lowerCAmelCase  :     Optional[Any]       						= [directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
			if len(a_						) > 0:
					raise ValueError(
					    "Several directories starting with `cookiecutter-template-` in current working directory. "
					    "Please clean your directory by removing all folders starting with `cookiecutter-template-` or "
					    "change your working directory."						)

			lowerCAmelCase  :     List[str]       						= (
			    Path(a_						).parent.parent.parent.parent if self._path is None else Path(self._path						).parent.parent
			)
			lowerCAmelCase  :     str       						= path_to_transformer_root / "templates" / "adding_a_new_model"

			# Execute cookiecutter
			if not self._testing:
					cookiecutter(str(a_						)						)
			else:
					with open(self._testing_file		,   "r"						) as configuration_file:
							lowerCAmelCase  :     Dict       						= json.load(a_						)

					cookiecutter(
					    str(path_to_cookiecutter if self._path is None else self._path						)		,   no_input=a_		,   extra_context=a_		,   )

			lowerCAmelCase  :     Optional[Any]       						= [directory for directory in os.listdir() if "cookiecutter-template-" in directory[:22]][0]

			# Retrieve configuration
			with open(directory + "/configuration.json"		,   "r"						) as configuration_file:
					lowerCAmelCase  :     str       						= json.load(a_						)

			lowerCAmelCase  :     List[str]       						= configuration["lowercase_modelname"]
			lowerCAmelCase  :     List[Any]       						= configuration["generate_tensorflow_pytorch_and_flax"]
			os.remove(F'''{directory}/configuration.json'''						)

			lowerCAmelCase  :     Optional[int]       						= "PyTorch" in generate_tensorflow_pytorch_and_flax
			lowerCAmelCase  :     Optional[int]       						= "TensorFlow" in generate_tensorflow_pytorch_and_flax
			lowerCAmelCase  :     Optional[Any]       						= "Flax" in generate_tensorflow_pytorch_and_flax

			lowerCAmelCase  :     List[str]       						= F'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
			os.makedirs(a_		,   exist_ok=a_						)
			os.makedirs(F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}'''		,   exist_ok=a_						)

			# Tests require submodules as they have parent imports
			with open(F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/__init__.py'''		,   "w"						):
					pass

			shutil.move(
			    F'''{directory}/__init__.py'''		,   F'''{model_dir}/__init__.py'''		,   )
			shutil.move(
			    F'''{directory}/configuration_{lowercase_model_name}.py'''		,   F'''{model_dir}/configuration_{lowercase_model_name}.py'''		,   )

			def remove_copy_lines(a_						):
					with open(a_		,   "r"						) as f:
							lowerCAmelCase  :     Dict       						= f.readlines()
					with open(a_		,   "w"						) as f:
							for line in lines:
									if "# Copied from transformers." not in line:
											f.write(a_						)

			if output_pytorch:
					if not self._testing:
							remove_copy_lines(F'''{directory}/modeling_{lowercase_model_name}.py'''						)

					shutil.move(
					    F'''{directory}/modeling_{lowercase_model_name}.py'''		,   F'''{model_dir}/modeling_{lowercase_model_name}.py'''		,   )

					shutil.move(
					    F'''{directory}/test_modeling_{lowercase_model_name}.py'''		,   F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_{lowercase_model_name}.py'''		,   )
			else:
					os.remove(F'''{directory}/modeling_{lowercase_model_name}.py'''						)
					os.remove(F'''{directory}/test_modeling_{lowercase_model_name}.py'''						)

			if output_tensorflow:
					if not self._testing:
							remove_copy_lines(F'''{directory}/modeling_tf_{lowercase_model_name}.py'''						)

					shutil.move(
					    F'''{directory}/modeling_tf_{lowercase_model_name}.py'''		,   F'''{model_dir}/modeling_tf_{lowercase_model_name}.py'''		,   )

					shutil.move(
					    F'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''		,   F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_tf_{lowercase_model_name}.py'''		,   )
			else:
					os.remove(F'''{directory}/modeling_tf_{lowercase_model_name}.py'''						)
					os.remove(F'''{directory}/test_modeling_tf_{lowercase_model_name}.py'''						)

			if output_flax:
					if not self._testing:
							remove_copy_lines(F'''{directory}/modeling_flax_{lowercase_model_name}.py'''						)

					shutil.move(
					    F'''{directory}/modeling_flax_{lowercase_model_name}.py'''		,   F'''{model_dir}/modeling_flax_{lowercase_model_name}.py'''		,   )

					shutil.move(
					    F'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''		,   F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_flax_{lowercase_model_name}.py'''		,   )
			else:
					os.remove(F'''{directory}/modeling_flax_{lowercase_model_name}.py'''						)
					os.remove(F'''{directory}/test_modeling_flax_{lowercase_model_name}.py'''						)

			shutil.move(
			    F'''{directory}/{lowercase_model_name}.md'''		,   F'''{path_to_transformer_root}/docs/source/en/model_doc/{lowercase_model_name}.md'''		,   )

			shutil.move(
			    F'''{directory}/tokenization_{lowercase_model_name}.py'''		,   F'''{model_dir}/tokenization_{lowercase_model_name}.py'''		,   )

			shutil.move(
			    F'''{directory}/tokenization_fast_{lowercase_model_name}.py'''		,   F'''{model_dir}/tokenization_{lowercase_model_name}_fast.py'''		,   )

			from os import fdopen, remove
			from shutil import copymode, move
			from tempfile import mkstemp

			def replace(a_		,   a_		,   a_						):
					# Create temp file
					lowerCAmelCase						,		lowerCAmelCase  :     Tuple       						= mkstemp()
					lowerCAmelCase  :     int       						= False
					with fdopen(a_		,   "w"						) as new_file:
							with open(a_						) as old_file:
									for line in old_file:
											new_file.write(a_						)
											if line_to_copy_below in line:
													lowerCAmelCase  :     Optional[int]       						= True
													for line_to_copy in lines_to_copy:
															new_file.write(a_						)

					if not line_found:
							raise ValueError(F'''Line {line_to_copy_below} was not found in file.'''						)

					# Copy the file permissions from the old file to the new file
					copymode(a_		,   a_						)
					# Remove original file
					remove(a_						)
					# Move new file
					move(a_		,   a_						)

			def skip_units(a_						):
					return (
					    ("generating PyTorch" in line and not output_pytorch)
					    or ("generating TensorFlow" in line and not output_tensorflow)
					    or ("generating Flax" in line and not output_flax)
					)

			def replace_in_files(a_						):
					with open(a_						) as datafile:
							lowerCAmelCase  :     Dict       						= []
							lowerCAmelCase  :     Optional[int]       						= False
							lowerCAmelCase  :     List[Any]       						= False
							for line in datafile:
									if "# To replace in: " in line and "##" not in line:
											lowerCAmelCase  :     Optional[int]       						= line.split("\""						)[1]
											lowerCAmelCase  :     Tuple       						= skip_units(a_						)
									elif "# Below: " in line and "##" not in line:
											lowerCAmelCase  :     Any       						= line.split("\""						)[1]
											lowerCAmelCase  :     List[str]       						= skip_units(a_						)
									elif "# End." in line and "##" not in line:
											if not skip_file and not skip_snippet:
													replace(a_		,   a_		,   a_						)

											lowerCAmelCase  :     List[str]       						= []
									elif "# Replace with" in line and "##" not in line:
											lowerCAmelCase  :     Any       						= []
									elif "##" not in line:
											lines_to_copy.append(a_						)

					remove(a_						)

			replace_in_files(F'''{directory}/to_replace_{lowercase_model_name}.py'''						)
			os.rmdir(a_						)



